Additional information

Diagnosis

The field of medicine requires new and better diagnostic tools to improve population health and provide personalized healthcare. In many areas of medicine, the key obstacle for providing high quality treatment is underdiagnosis, wrong diagnosis or late diagnosis. Considering the sheer amount of information involved in population diagnosis, we will need to rely on AI to assist us with analyzing the data and gaining accurate, practical insights. We also need to find ways to collaborate across institutions in order to allow data to traverse freely and securely, improving access to advanced diagnostics tools and our ability to share and learn.

Western lifestyle and population aging are creating more and more complex chronic patients. These patients and their health teams are required to manage a large amount of information and behaviors while maintaining motivation over time, even when symptoms are rare or difficult to pinpoint. 

How can we make patients more reliable and engaged during the ongoing treatment of the disease? And how can we ensure that the care providers and health systems have the tools they need to keep track of patient status and maintain open and timely communication? The answer may reside in software.

Disease management

Pathway redesign

Can we identify bottlenecks in the care cycle and intervene to improve them? Can we help data flow between patients, physicians and health systems? Can we create decision support systems which provide the right recommendation at the right time? Are there ways to replace current medical gold standards with more efficient and effective procedures using digital technology? 

Clinical pathways are used all over the world to implement and monitor patient-centered care processes in a transparent way. Since care pathways are complex and often lack sufficient information, the challenge of making clinical pathways a practical healthcare tool with well defined characterized stages  (design, implementation, and assessment) is a significant one. As hospitals and HMOs are shifting from specific care points to a more holistic health system, clinical pathway designs focused on speed, efficiency, service, and decreased resource utilization are becoming a critical requirement for the future of health.

The healthcare vertical did not catch up with the level of customer experience we are used to in today's digital and services world. This is true during treatment cycles in hospitals and clinics, but also between touchpoints with the health system or after remission. Quality of life, mental support, accessibility, service orientation, user-friendliness, real-time solutions, transparency, facilitation, communication, and other social and empathic trends are not yet ubiquitous in today's healthcare space. 

How can we create holistic, cost-effective care systems that involve patient and caregiver, healthcare system and physicians, all while putting the mental, social and emotional well-being of the patient at the forefront?

Quality of life

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